Master of Data Science Student Spotlight: Prasanthika Kumarasiri
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La Trobe University’s online Master of Data Science course is preparing graduates to excel in this exciting field, ensuring they’re equipped with the industry knowledge and hands-on experience needed to harness data to drive impactful solutions across a wide range of sectors Prasanthika Kumarasiri, a dedicated student with a background in molecular biology, shares her goal of tackling complex challenges in healthcare and life sciences by expanding her expertise in data science.
What is your education background?
I am in the final semester of my Master of Data Science at La Trobe University, specialising in Data Modelling and Analytics. Prior to this, I earned a Graduate Certificate in Data Science Fundamentals from La Trobe. My earlier education includes a Master by Research in Biomedical Science from the University of Chester and a Bachelor of Science (Hons) in Biochemistry and Molecular Biology from the University of Colombo.
Please share a bit about yourself – what do you like to do in your free time?
In my free time, I lead a busy and active lifestyle as a mother of an energetic preschooler, while pursuing my studies and upskilling in areas I am passionate about. I also enjoy reading science fiction, where alternative realities come to life while still being grounded in scientific facts. I find it fascinating to explore the balance between science and the imaginative aspects of these works.
How did your previous role as a molecular geneticist inspire your move to data science?
My background as a Molecular Biologist provided me with a strong foundation in research and analytical thinking. I first recognised the significance of data science during my previous role as a molecular geneticist, where complex genomic data analysis was crucial for interpreting results. This experience inspired my transition into data science, particularly after discovering the role of a bioinformatics analyst, which combines biology and data analytics.
Moreover, the field of biology is rapidly evolving, with advancements in technology leading to an exponential increase in data generation. Consequently, the ability to model and analyse biological data with complex features within acceptable amount of time is more important than ever.
What motivated you to study Data Science with La Trobe University?
The course content is well-structured and delivered by experts with a strong focus on industry application. The variety of specialisations and elective subjects allows me to tailor my studies. To align my studies with my career goals, I focused on specialisations and elective subjects that apply statistical models and big data techniques to address complex biological challenges. This integration not only fuels my passion for science but also positions me to make a meaningful impact in the field.
Additionally, the flexibility of online study options accommodates my family commitments. The funding opportunities, such as the Commonwealth Supported Place and the Women in Data Science Scholarship, have been significant factors in supporting my upskilling journey.
What have been your favourite subject/s in the course so far?
My favourite subjects in the course so far have been those offered by the Statistics department, as they emphasise real data applications and provide immense value. I found these subjects especially rewarding because I achieved my best results in them, which boosted my confidence in the completely new path I’m taking in the field of Data Science. I particularly enjoyed Models for Bioinformatics, Artificial Intelligence in Bioinformatics, and Meta-Analysis, as they allowed me to engage with biological data and connect with my core background as a biologist.
Were there any skills or knowledge gaps you wanted to bridge with the course?
I wanted to bridge gaps in my knowledge of the tools, programming languages, and platforms that are essential in today’s data-driven world. My goal was to excel in the skills necessary to effectively handle and analyse data, as these competencies are increasingly in demand across various industries.
What was the most challenging assignment or project you worked on during the course, and how did it help develop your skills?
One of the most challenging assignments I worked on was for the Models for Bioinformatics. This assignment involved analysing gene expression data to categorise breast cancer patients into biologically and clinically distinct subtypes, extracting significant differentially expressed genes, explore their biological relevance and provide insights into survival prognoses in relation to clinical attributes. Additionally, it highlighted the importance of personalised breast cancer treatment by integrating gene expression data with clinical attributes.
While the flexibility of online study allowed me to learn at my own pace, I found the six-week term duration quite challenging. It was crucial to stay engaged from day one and to plan and prepare ahead for assessments and projects. The project was particularly demanding due to the tight timeline, which required me to rapidly learn concepts and apply them effectively.
Are there any examples you can think of in the coursework that have influenced your ability to get the role you’re now in?
I recently secured a university-sourced work-based learning placement at Agriculture Victoria Research. I included the project I submitted for the Models for Bioinformatics course as part of my application portfolio. Additionally, I believe the balanced content of my course transcript significantly contributed to my success as an applicant.
Where would you like to be in 5 years’ time?
In five years, I envision myself as a skilled Data Scientist specialising in bioinformatics, using my biology background to drive innovations in healthcare and life sciences. I aim to work on impactful projects and take on leadership roles, mentoring others while continuing my professional growth.
Learn more about La Trobe’s online Master of Data Science or get in touch with our team of Enrolment Advisors via (+61 3) 9917 3009 or onlinecourses@latrobe.edu.au.